This study analyses the impact of the transfer of technological information (among other a priori identified factors) on the uptake of innovative crop technologies using structural equation modelling of data from a representative survey of Scottish crop farmers. The model explains 83% of the variance in current technological uptake behaviour and 63% of the variance in intentions to uptake new technologies.

The purpose of this report is to provide some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs. It does this by exploring the way in which this transformation agenda reframes agricultural research and innovation.

Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?